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Network Science and Cybersecurity

Overview of attention for book
Cover of 'Network Science and Cybersecurity'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Towards Fundamental Science of Cyber Security
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    Chapter 2 Bridging the Semantic Gap: Human Factors in Anomaly-Based Intrusion Detection Systems
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    Chapter 3 Recognizing Unexplained Behavior in Network Traffic
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    Chapter 4 Applying Cognitive Memory to CyberSecurity
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    Chapter 5 Understanding Cyber Warfare
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    Chapter 6 Design of Neuromorphic Architectures with Memristors
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    Chapter 7 Nanoelectronics and Hardware Security
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    Chapter 8 User Classification and Authentication for Mobile Device Based on Gesture Recognition
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    Chapter 9 Hardware-Based Computational Intelligence for Size, Weight, and Power Constrained Environments
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    Chapter 10 Machine Learning Applied to Cyber Operations
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    Chapter 11 Detecting Kernel Control-Flow Modifying Rootkits
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    Chapter 12 Formation of Artificial and Natural Intelligence in Big Data Environment
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    Chapter 13 Alert Data Aggregation and Transmission Prioritization over Mobile Networks
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    Chapter 14 Semantic Features from Web-Traffic Streams
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    Chapter 15 Concurrent Learning Algorithm and the Importance Map
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    Chapter 16 Hardware Accelerated Mining of Domain Knowledge
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    Chapter 17 Memristors and the Future of Cyber Security Hardware
Attention for Chapter 14: Semantic Features from Web-Traffic Streams
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Citations

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Chapter title
Semantic Features from Web-Traffic Streams
Chapter number 14
Book title
Network Science and Cybersecurity
Published by
Springer, New York, NY, January 2014
DOI 10.1007/978-1-4614-7597-2_14
Book ISBNs
978-1-4614-7596-5, 978-1-4614-7597-2
Authors

Steve Hutchinson

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Other 1 50%
Readers by discipline Count As %
Computer Science 2 100%

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